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Predicting radiology service times for enhancing emergency department management

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  • Aloini, Davide
  • Benevento, Elisabetta
  • Berdini, Marco
  • Stefanini, Alessandro

Abstract

Emergency departments (EDs) are increasingly challenged by overcrowding, resource shortages, and rising demand for care, which compromise operational efficiency and service quality. In response, machine learning (ML) is emerging as a powerful tool for ED management, offering predictive models to enhance real-time decision-making and optimize workflows.

Suggested Citation

  • Aloini, Davide & Benevento, Elisabetta & Berdini, Marco & Stefanini, Alessandro, 2025. "Predicting radiology service times for enhancing emergency department management," Socio-Economic Planning Sciences, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:soceps:v:99:y:2025:i:c:s0038012125000576
    DOI: 10.1016/j.seps.2025.102208
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    References listed on IDEAS

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